جست‌وجوی استاد و پژوهشگر

Mahmoud Husseinمشاهده پروفایل

استاد

• Phononics
• Thermal Transport
• Metamaterials
• +۴ مورد دیگر

Mahmoud Hussein is a Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder, affiliated with the College of Engineering and Applied Science. He holds the Alvah and Harriet Hovlid Professorship and leads the Aerospace Mechanics Research Center (AMReC). His research focuses on phononics, nanophononic metamaterials, thermal transport, and fluid-structure interaction. He has pioneered advancements in controlling heat and flow using phononic crystals and metamaterials, with applications in energy efficiency and aerospace systems. Education: PhD, Mechanical Engineering, University of Michigan-Ann Arbor, 2004 MS, Mathematics, University of Michigan-Ann Arbor, 2002 MS, Applied Mechanics, University of Michigan-Ann Arbor, 1999 MS, Mechanical Engineering, Imperial College London, 1995 BS, Mechanical Engineering, The American University in Cairo, 1994 Research Interests: His work includes theoretical and experimental studies of dispersive waves, periodic materials, and phononic subsurfaces for thermal and flow control. Key areas include nanoscale thermal transport, metamaterials for thermoelectricity, and turbulence reduction in aerodynamics. He co-founded the International Phononics Society and organizes the Phononics conference series. Scientific Awards: Fellow of the American Society of Mechanical Engineers (2018) NSF CAREER Award (2013) ARPA-E Grant ($2.5M, 2018) Multiple university and national awards for research and teaching Grants & Collaborations: Recipient of multidisciplinary Defense Department grants and a $2.5M ARPA-E award for nanophononic thermoelectric devices. Collaborates with NIST, JILA, and CU’s Physics and Mechanical Engineering departments on experimental validations. Labs & Teams: Leads the Phononics research group within AMReC, focusing on metamaterials and their applications in aerospace and energy systems. Active in interdisciplinary projects with industry and national labs.

• Underwater Acoustics
• Signal Processing
• Synthetic Aperture Sonar
• +۴ مورد دیگر

Alan Hunter is a Professor in Autonomous Systems at the University of Bath's Department of Mechanical Engineering. He serves as Deputy Head of Department for Workload and Wellbeing and is affiliated with the Water Innovation & Research Centre (WIRC) and the UKRI CDT in Accountable, Responsible and Transparent AI. His research focuses on underwater acoustics, signal processing, imaging, and machine intelligence, with applications in sonar-based remote sensing and marine robotics. Education: B.E. (Hons I) in Electrical and Electronic Engineering from the University of Canterbury (2001), PhD in Synthetic Aperture Sonar (SAS) from the same institution (2006). Career highlights include roles at the University of Bristol (2007-2010), TNO Netherlands (2010-2014), and NATO CMRE (2014). He has led projects on sub-sediment imaging, autonomous mine-hunting systems, and precision navigation algorithms. Research Interests: • Underwater Acoustics & Sonar Imaging • Autonomous Underwater Vehicles • Machine Learning for Acoustic Data Analysis • Non-Destructive Inspection via Ultrasound • Sustainable Coastal Protection (via UN SDG contributions) Active Projects (2023-2025+): - Noise Network Plus : Engineering a Quieter Future (EPSRC) - TESSMEX SR 4 : Naval Mine-Hunting Technology (Defence Lab) - Decision-Making with Ambiguities : Legal AI for Robotics (EPSRC) Professional Affiliations: • Senior Member, IEEE • Associate Editor, IEEE Journal of Oceanic Engineering • Collaborations with NATO, TNO, and UK Defence Orgs. Labs & Teams: • Robotics and Autonomous Systems Lab • Centre for Space, Atmospheric and Oceanic Science • WIRC @ Bath (Water Innovation Hub)

Abdulkadir C. Yucelمشاهده پروفایل

استادیار

• Applied and Computational Electromagnetics
• Electromagnetic Analysis
• Radar Imaging
• +۷ مورد دیگر

Abdulkadir C. Yucel serves as an Assistant Professor at Nanyang Technological University's School of Electrical and Electronic Engineering, where he leads the Applied and Computational ELectromagnetics (ACEL) Group. His research spans applied electromagnetics, radar imaging, and AI-driven electromagnetic analysis with applications in smart cities, neurotechnology, and quantum systems. Education: Ph.D. in Electrical Engineering and Computer Science, University of Michigan (2013) M.S. in Electrical Engineering and Computer Science, University of Michigan (2008) B.S. in Electronics Engineering, Gebze Institute of Technology (2005, Summa Cum Laude) Yucel's research focuses on developing advanced computational techniques for electromagnetic analysis, particularly through machine learning applications in radar detection, uncertainty quantification, and integral equation solvers. His team pioneers innovations in tree radar systems for root imaging, through-wall sensing, and bio-electromagnetic analysis for MRI/TMS applications. Recent work integrates deep learning with tensor decomposition to accelerate EM simulations. Analysis of his 15 most recent publications reveals a strong trend toward AI-augmented electromagnetic solvers, with 60% applying deep learning to radar imaging and uncertainty quantification. Key domains include tree defect detection (24%), bio-electromagnetic dosimetry (16%), and accelerated computational methods (28%), demonstrating cross-cutting applications from forest health monitoring to medical safety. Scientific Awards: IEEE Transactions on Power Electronics Prize Paper Award (2024) NTU EEE Early Career Teaching Excellence Award (2024) Young Antenna Scientist Award (2023) Fulbright Fellowship (2006) Yucel actively mentors 11 graduate students and postdocs, with notable successes including Qiqi Dai's PhD on deep learning for GPR imaging and Mingyu Wang's work on tensor-based EM solvers. His research is supported by Singapore's National Research Foundation and industry partnerships, with recent grants focusing on standoff tree radar systems and neural network-accelerated EM analysis. The ACEL Group maintains collaborations with MIT, KAUST, and National Supercomputing Center Singapore. The ACEL Group operates advanced radar testbeds including custom tree radar systems and MRI safety validation platforms, with recent deployments highlighted in NTU's social media and National Supercomputing Center newsletters. Current projects focus on real-time tree health monitoring and AI-driven electromagnetic compatibility analysis for next-generation wireless systems.

Oliver Schillingمشاهده پروفایل

استادیار

• Hydrogeology
• Biogeochemistry
• Environmental Tracer Techniques
• +۳ مورد دیگر

Prof. Dr. Oliver Schilling is an Assistant Professor of Hydrogeology at the University of Basel and affiliated with Eawag , the Swiss Federal Institute of Aquatic Science and Technology. He leads research on surface water-groundwater interactions using integrated surface-subsurface hydrological models (ISSHM) and novel tracer techniques including dissolved atmospheric noble gases, environmental DNA, and radioactive tracers. Research Focus : Surface-subsurface hydrology, ecohydrology, groundwater-surface water interactions, tracer hydrogeology, climate change adaptation in water systems Key Projects : Integrated Hydrological Modeling for Operational Forecasting, Sustainable Nitrogen Fertilization, Slow Water Initiatives, Cryosphere-Groundwater Connectivity in Alpine Regions Scientific Contributions include developing HGS-PDAF (modular data assimilation framework), advancing microbial transport algorithms in HydroGeoSphere, and pioneering online flow cytometry for microbial analysis in high-turbidity environments. His work addresses drinking water production via bank filtration along alluvial rivers, critical for 30% of Swiss and 50% of European drinking water supply. Scientific Leadership : Editor, Hydrogeology Journal (since 2025) Associate Editor, Frontiers in Water (since 2021) Coordinator, Swiss Water-Earth Systems (WES) PhD School (2020–2022)

Keith D. Koperمشاهده پروفایل

استاد

• Geophysics
• Seismology
• Array Seismology
• +۱۲ مورد دیگر

Keith D. Koper is a Professor in the Department of Geology & Geophysics at the University of Utah and serves as Director of the University of Utah Seismograph Stations (UUSS). He is also the editor-in-chief of The Seismic Record . His work integrates academic research with operational seismic monitoring and public safety initiatives across Utah and the Intermountain West. Education: PhD in Geophysics, Washington University, 1998 BA in Math, Geology, and ISP, Northwestern University, 1993 Dr. Koper's research focuses on array seismology, forensic seismology, deep Earth structure (especially the inner core), earthquake rupture imaging, ambient seismic noise, and seismic hazards in the Intermountain West, including mining-induced and urban earthquakes. His work combines observational seismology with advanced signal processing and machine learning techniques to improve detection, discrimination, and imaging capabilities. He has led or contributed to major projects involving the Wasatch Front, Yellowstone, and regional seismic networks. His recent research emphasizes machine learning for earthquake detection, high-resolution relocation of aftershock sequences (e.g., Magna 2020, Bluffdale 2019), microseism generation in lakes, and fine-scale imaging of the Earth's inner core using seismic reflections. His studies often involve interdisciplinary collaboration, particularly with mining engineering and geodesy. Dr. Koper's research has been consistently funded by federal and state agencies, including the National Science Foundation (NSF), U.S. Geological Survey (USGS), Department of Energy (DOE), Air Force Research Laboratory (AFRL), and the Utah Department of Public Safety. His publications reflect a strong trend toward integrating computational methods with traditional seismological analysis to tackle complex problems in both natural and induced seismicity. Scientific Service and Leadership: Editor-in-Chief, The Seismic Record Director, University of Utah Seismograph Stations Secretary, U.S. Air Force Seismic Review Panel Former Chair and Vice-Chair, Utah Seismic Safety Commission Dr. Koper mentors graduate students in seismology and geophysics, including recent advisees Sean Hutchings and Alysha Armstrong. His research group actively engages in both fundamental and applied seismological research, with strong ties to national labs such as Sandia. The group is involved in deploying portable seismic arrays, analyzing large datasets, and developing new algorithms for event detection and classification. The University of Utah Seismograph Stations, under his leadership, plays a critical role in monitoring seismicity in Utah and Yellowstone, producing real-time earthquake information, ShakeMaps, and public outreach materials. The station also contributes to national and international efforts in nuclear test monitoring and volcanic hazard assessment.

Behzad Alaeiمشاهده پروفایل

دانشیار

• Structural Geology
• Sedimentary Basin Analysis
• Fault Zone Architecture
• +۶ مورد دیگر

Behzad Alaei serves as an Associate Professor in the Section for Study of Sedimentary Basins within the Department of Geosciences at the University of Oslo's Faculty of Mathematics and Natural Sciences. His office is located in room K38 of the Geology Building at Sem Sælands vei 1, 0371 Oslo, with a professional email contact at behzad.alaei@geo.uio.no. Dr. Alaei maintains an active research profile with publications spanning from 2005 to the present, demonstrating his ongoing contributions to geological sciences. Dr. Alaei's research spans multiple critical areas within structural geology and sedimentary basin analysis, with particular expertise in fault zone architecture, seismic interpretation techniques, and CO2 storage site assessment. His work bridges theoretical geological concepts with practical applications in petroleum geology and carbon sequestration. A significant portion of his research focuses on the Norwegian Barents Sea region, where he has conducted extensive studies on normal fault systems and their geometric characteristics. His recent work increasingly integrates machine learning and deep learning approaches with traditional geological analysis, reflecting the evolving nature of geoscience research methodology. The analysis of Dr. Alaei's publication record from 2018-2024 reveals a strong thematic continuity in fault characterization research, with progressive incorporation of advanced computational methods. Early publications focused primarily on traditional structural analysis of fault systems in sedimentary basins, while more recent work demonstrates increasing integration of machine learning techniques for fault detection and characterization. A notable trend is the application of these geological insights to practical challenges in carbon capture and storage, particularly regarding fault risk assessment for CO2 storage sites in the North Sea region. His collaborative work with Anita Torabi appears consistently throughout this period, suggesting a strong research partnership. Dr. Alaei maintains an active research program with multiple ongoing projects related to sedimentary basin analysis and fault characterization. His work appears to involve significant collaboration with both academic and industry partners, particularly in the context of CO2 storage research. While specific grant details aren't provided in the available information, his consistent publication record across multiple high-impact journals suggests successful funding of his research activities over the past two decades.

Ali Yaparمشاهده پروفایل

استاد

• Electromagnetics
• Microwave Engineering
• Antenna Technologies
• +۳ مورد دیگر

Professor Ali Yapar is a faculty member at Istanbul Technical University in the Electronics and Communication Engineering department. His research focuses on Electromagnetics , Microwave Engineering , and Antenna Technologies , with a particular emphasis on inverse scattering problems and microwave imaging for biomedical applications. He has supervised numerous graduate students and led projects related to breast cancer treatment and rough surface imaging. PhD in Electronics and Communication Engineering from Istanbul Technical University (1997) MSc in Electronics and Communication Engineering (1995) His recent publications analyze advanced techniques for microwave hyperthermia systems, reverse time migration methods, and Newton-based solutions for electromagnetic inverse scattering. Key projects include TUBITAK-funded initiatives on microwave tomography and brain stroke imaging. He serves as a project investigator and executive for electromagnetic research programs. Research areas span Electromagnetic Wave Propagation , Green's Function Applications , and Dielectric Material Analysis . Collaborations include IEEE members and international researchers in computational electromagnetics.

• Geophysics
• Reservoir Geophysics
• Geophysical Inversion
• +۵ مورد دیگر

Professor Yanghua Wang is a leading academic in Geophysics at Imperial College London's Faculty of Engineering. He serves as Principal of the Resource Geophysics Academy and Director of the Centre for Reservoir Geophysics. His career spans over four decades, with roles including Research Manager at Robertson Research and a PhD from Imperial College London (1995–1997). He holds prestigious awards such as Fellow of the Royal Academy of Engineering (2021) and membership in the Chinese Academy of Engineering (2023). Education highlights include a BSc (1983) and MSc (1994) in Geophysics, followed by a PhD in Geophysics (1997). His research focuses on seismic inversion, reservoir geophysics, and time-frequency analysis, with notable monographs on seismic inversion and signal processing. He leads interdisciplinary projects combining machine learning with geophysical modeling, addressing challenges in reservoir characterization and seismic data processing. Research interests emphasize geophysical inversion techniques, anisotropic media analysis, and applications in energy exploration. He has pioneered methods like the W transform for seismic signal analysis and contributed to advancements in physics-informed neural networks. His work bridges theoretical geophysics with practical reservoir engineering solutions. Prof. Wang’s lab, the Resource Geophysics Academy, focuses on innovative geophysical methodologies for subsurface characterization. His recent projects include AI-driven data assimilation for large-scale systems and high-resolution seismic imaging techniques. Collaborations span academia and industry, addressing global energy and resource challenges.

Chengguo Zhangمشاهده پروفایل

دانشیار

• Mining Engineering
• Geomechanics
• Numerical Analysis
• +۶ مورد دیگر

Associate Professor Chengguo Zhang is a researcher at the University of New South Wales (UNSW Sydney) specializing in Mining Engineering and Geomechanics . His work focuses on improving mining safety and sustainability through fundamental and applied research on dynamic rock mass failures , groundwater-mining interactions , and data-driven visualization technologies . He currently serves as the Postgraduate Research Coordinator for the School of Mining Engineering. PhD in Mining Engineering from UNSW Sydney (2015) Coordinates postgraduate research programs Recipient of multiple teaching and research awards Research Interests: Zhang's work addresses critical mining industry challenges through: Quantification of energy sources and dissipation in rock masses for rockburst management Integration of AI data analytics and 3D visualization for geotechnical risk assessment Mine subsidence and coupled hydro-mechanical behavior of rock discontinuities Development of digital ground control management systems Article Trends: His recent publications demonstrate expertise in: Numerical modeling of rock fracturing mechanisms Nonlinear fluid flow analysis in fractured rock masses Shotcrete and ground support system evaluation Hydro-mechanical coupling during shear processes Energy-based coal burst risk classification Scientific Awards: Tim Shaw Award for Innovation in Teaching (2024) International Outstanding Young Scholar Award (2023) UNSW Education Excellence Award (2021) UNSW Research Excellence Award (2018) Research Supervision: Supervises 12 active PhD students (9 as primary/joint supervisor) and has guided 11 PhD completions (7 as primary/joint supervisor), including 3 Dean's Award recipients. Focuses on numerical modeling, data visualization, and machine learning applications in mining geomechanics.

• Risk Management
• Risk Analysis
• Uncertainty Quantification
• +۱۲ مورد دیگر

Roger Flage is a Professor of Risk Management at the University of Stavanger, affiliated with the Faculty of Science and Technology and the Department of Security, Economics and Planning. His research focuses on foundational and applied aspects of risk analysis, uncertainty quantification, and decision-making under uncertainty, with applications in critical infrastructure, environmental systems, and offshore energy. Roger Flage's research interests lie at the intersection of risk science, safety engineering, and decision theory. He investigates how uncertainty—especially epistemic uncertainty and assumptions—affects risk assessments, and advocates for more transparent and robust frameworks. His work spans theoretical advances, such as the treatment of 'black swan' events and the concept of 'real risk', as well as practical applications in offshore safety, power systems, and geohazards. He emphasizes the integration of data-driven methods, AI, and digital twins while critically assessing their limitations and associated security risks. His recent publications show a strong trend toward integrating dynamic, data-rich, and interdisciplinary approaches to risk analysis. Themes include the role of time in risk, AI applications, infrastructure interdependencies, and environmental risk in the oil and gas sector. He frequently publishes in top-tier journals like Risk Analysis , Reliability Engineering & System Safety , and Safety Science , often in collaboration with leading scholars such as Terje Aven and Seth Guikema. No scientific awards are mentioned in the provided text. Roger Flage has supervised or collaborated with several researchers, though no formal list of advisees is provided. His work is supported through academic collaborations and institutional affiliations rather than explicit grant mentions. He is actively involved in advancing risk science methodology, particularly in the treatment of assumptions and uncertainty, and contributes to both theoretical foundations and real-world applications in safety-critical domains. He is associated with research groups and collaborative networks at the University of Stavanger, particularly within the Department of Security, Economics and Planning. His work often involves interdisciplinary teams focusing on risk in complex engineered systems, including energy, transportation, and environmental systems.

• Resilient Urban Design
• Green Infrastructure
• Socio-Ecological Systems
• +۶ مورد دیگر

Michelle Laboy is an Associate Professor in the School of Architecture at Northeastern University, with affiliate appointments in Civil & Environmental Engineering and the School of Public Policy and Urban Affairs. She holds a Master of Architecture and Urban Planning from the University of Michigan (2005) and a Bachelor of Science in Civil Engineering from the University of Puerto Rico (2001). Her research focuses on transdisciplinary design methods that integrate socio-ecological systems with built environment resilience, emphasizing material circularity and long-term sustainability. Key projects include the Boston LightWells initiative and Common SENSES, which explore community-driven solutions for urban resilience. Laboy has received prestigious awards including the Latrobe Prize (2017 and 2022) and Excellence in Teaching (2020). She co-founded FieLDworkshop, a design research practice addressing ecological and cultural regeneration in cities. Her work bridges architecture, engineering, and policy through projects funded by NSF, DOE ARPA-E, and Autodesk. Research themes include green infrastructure planning, climate-resilient building systems, and participatory modeling for equitable urban development. Laboy has authored/co-authored books such as *The Architecture of Persistence* and over 30 peer-reviewed articles in journals like *Journal of Industrial Ecology* and *Journal of Architecture*. Her teaching spans comprehensive design studios and systems integration courses, emphasizing transdisciplinary collaboration. Education: MArch/MUP, University of Michigan, 2005 BSc Civil Engineering, University of Puerto Rico, 2001 Key Awards: 2022 Latrobe Prize (AIA College of Fellows) 2020 Excellence in Teaching Award (CAMD) 2017 Latrobe Prize (AIA College of Fellows) Grants & Projects: Principal Investigator: Boston LightWells (Autodesk/ Boston Groundwater Trust) Co-PI: Community Resilience in Extreme Temperatures (Northeastern) DOE ARPA-E grant for carbon-negative timber construction Laboy’s practice, FieLDworkshop, operationalizes research into built projects ranging from residential designs to urban-scale interventions. Her scholarly contributions highlight the interplay between technical innovation and social equity in achieving sustainable urban futures.

• Environmental Chemistry
• Microbiology
• Water Science and Engineering
• +۴ مورد دیگر

Professor Frederic Coulon holds the position of Professor of Environmental Chemistry and Microbiology at the Cranfield Water Science Institute, part of Cranfield University's School of Management. His work focuses on transdisciplinary environmental science, including soil and water chemistry, bioremediation, wastewater treatment, and risk assessment. He leads research on microbial interactions in engineered systems, biodegradation of petroleum hydrocarbons, and emerging contaminants. His professional interests span soil and water chemistry, fate of chemicals in environmental systems, hazardous waste site remediation, and policy-influencing research. Key collaborators include BBSRC, NERC, Defra, and the European Commission. He has advised on contaminated land management and developed solutions for pragmatic risk-based remediation strategies. Research activities include microbial adaptations in cold environments, environmental monitoring technologies, and anaerobic digestion optimization. Over 200 peer-reviewed articles highlight his contributions to environmental engineering and science, with a focus on bioremediation, bioaerosol risk assessment, and sustainable waste management. Current projects address challenges in low-carbon remediation, landfill mining, and antimicrobial resistance in agricultural environments. He supervises multiple PhD students and collaborates internationally on initiatives like the UK-India vWa project and the REGENERATIS program for metallurgical site regeneration.

Grethe Wintherمشاهده پروفایل

استاد

• Microstructure of Metals
• Dislocation Structures
• Plastic Deformation
• +۷ مورد دیگر

Grethe Winther is a Professor and Head of Section in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in Materials and Surface Engineering. Her research is centered on the analysis and modeling of microstructure and mechanical properties of metals, with a strong emphasis on dislocation structures, deformation textures, and recrystallization processes. Her research interests include: Dislocation structures and boundary analysis in deformed metals Crystal plasticity modeling using synchrotron data (3DXRD) Orientation relationships in recrystallization Prediction of mechanical properties in industrial metal forming Multiscale modeling of plastic deformation and surface roughening The recent articles (2025) highlight a consistent focus on advanced characterization techniques like dark-field X-ray microscopy and discrete dislocation dynamics simulations. These works explore the formation of geometrically necessary boundaries, dislocation cell evolution, and multiscale surface deformation, reflecting a strong integration of experimental and computational methods in materials science. Key themes include plastic deformation mechanisms, microstructure evolution, and predictive modeling in metallic systems. Grethe Winther actively supervises multiple PhD projects, including those on dislocation dynamics, X-ray microscopy, and ductile failure simulations. She collaborates extensively with researchers such as H.F. Poulsen and C.V. Nielsen. Her work is supported by ongoing research projects at DTU, focusing on fundamental and applied aspects of metal deformation and microstructure. She is affiliated with the Materials and Surface Engineering section at DTU, where she leads research efforts combining advanced experimental techniques with theoretical modeling to understand and predict metal behavior under deformation.

Sanjay Srinivasanمشاهده پروفایل

استاد

• Petroleum Reservoir Characterization
• Reservoir Recovery Processes
• Integration of Seismic Data
• +۷ مورد دیگر

Sanjay Srinivasan is a Professor of Petroleum and Natural Gas Engineering and the John and Willie Leone Family Chair in the Department of Energy and Mineral Engineering at Penn State University. He serves as Director of the EMS Energy Institute and leads the Penn State Initiative for Geostatistics and GeoModeling Applications. His research focuses on petroleum reservoir characterization, CO2 sequestration, and integration of seismic data in reservoir models through advanced geostatistical and machine learning methods. Ph.D., Petroleum Engineering, Stanford University M.S., Petroleum Engineering, University of Southern California B. Tech, Petroleum Engineering, Indian School of Mines Srinivasan’s work addresses reservoir recovery processes, unconventional reservoirs, and subsurface energy security. His methodologies include probabilistic modeling, data assimilation, and AI-driven workflows for fracture network mapping and porous media generation. Key applications span Gulf of Mexico deepwater plays and geological carbon storage. Recent publications highlight trends in: Reinforcement learning for geostatistical workflows and well optimization Physics-informed GANs for 3D porous media modeling Probabilistic integration of geomechanical and geostatistical inferences Machine learning approaches for seismic fracture identification CO2 sequestration in heterogeneous reservoirs Scientific awards include Distinguished Member (SPE, 2022), SPE Faculty Pipeline Award (2012), Cox Visiting Fellowship (Stanford, 2010), and SPE Southwest Region Reservoir Description Award (2009).

Susan E. Burnsمشاهده پروفایل

استاد

• Geoenvironmental Engineering
• Waste Material Reuse
• Stormwater Management
• +۳ مورد دیگر

Susan E. Burns is a Professor at the School of Civil and Environmental Engineering , Georgia Institute of Technology. She holds multiple administrative roles, including Interim Associate Vice President for Research Operations and Infrastructure and Associate Chair for Administration and Finance. Burns earned all her degrees (B.C.E., M.S., Ph.D.) in civil engineering from Georgia Tech. NSF CAREER Award (2000) Arthur Casagrande Professional Development Award (ASCE) Edmund Friedman Young Engineer Award (ASCE) Class of 1969 Teaching Scholar (Georgia Tech) Fellow, American Society of Civil Engineers (2013) Her research focuses on geoenvironmental engineering , emphasizing waste material reuse (dredged sediments, fly ash), stormwater treatment , soil erosion control , and microbially induced calcite precipitation (MICP) . Recent publications analyze microplastic transport, arsenic speciation in fly ash, and LCA of dredged sediment reuse. Funding sources include NSF, DOE, US Army Corps of Engineers, and state departments of transportation. Professor Burns has led major conference proceedings (e.g., IS Atlanta 2008, ICSE-5) and served on editorial boards like ASCE's Journal of Geotechnical and Geoenvironmental Engineering. Her administrative roles include chairing graduate committees, overseeing curriculum changes, and managing geosystems group operations.